Zepeng Zhang
I am a PhD student at École Polytechnique Fédérale de Lausanne (EPFL). I work in the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink. During my PhD, I have also worked with Prof. Jhony H. Giraldo at Télécom Paris, Institut Polytechnique de Paris, as a visiting PhD student.
Previously, I received my master’s degree at ShanghaiTech University and B.Eng. degree from Wuhan University (WHU). I also had the opportunity to visit Peking University (PKU) and City University of HongKong (CityU) as a research intern.
My current research focuses on Generative Model and Graph Machine Learning. Feel free to contact me if you have anything would like to discuss!
news
| Oct 19, 2025 | Our paper “RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems” has been accepted by IEEE Transactions on Instrumentation & Measurement. |
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| Sep 18, 2025 | Our paper “GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data” has been accepted by NeurIPS 2025. |
| Jul 24, 2025 | Our paper “Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks” has been accepted by Reliability Engineering & System Safety. |
| May 20, 2025 | Our paper “Weighted Sum-Rate Maximization using MM: Convergence Rate and Deep Adaptation” has been accepted by EUSIPCO 2025. |
| Apr 13, 2025 | I have joined Prof. Jhony H. Giraldo’s group at Télécom Paris, Institut Polytechnique de Paris as a visiting student. |
Selected Publications
- AAAIDomain Adaptive Unfolded Graph Neural NetworksIn Proceedings of the AAAI Conference on Artificial Intelligence, 2025
- RESSAlgorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution NetworksReliability Engineering & System Safety, 2025
- JSTSPGraph Neural Networks With Adaptive StructuresIEEE Journal of Selected Topics in Signal Processing, 2024
- arXivDiscerning and enhancing the weighted sum-rate maximization algorithms in communicationsarXiv preprint arXiv:2311.04546, 2023